NVIDIA GeForce GTX 480 – GF100 Has Landed

We’ve learned a lot about NVIDIA’s GF100 (Fermi) architecture over the past year, and after what seemed like an eternal wait, the company has officially announced the first two cards as part of the series; the GeForce GTX 470 and GTX 480. To start, we’re taking a look at the latter, so read on to see if it GF100 was worth the wait.

Introduction

The past six months have been rather difficult for both NVIDIA and consumer alike, as both sides have been eagerly awaiting the launch of the company’s first GF100-based (Fermi) graphics cards. The long wait is over, though, and AMD’s Radeon HD 5000 series finally has some competition. Given the extra time NVIDIA spent on GF100, can we expect that its latest releases can give the HD 5000 series a run for its money?

The answer to that will of course be answered throughout the progression of this article. The first cards to be launched as part of the GF100 series are the GeForce GTX 470 and GTX 480. The latter comes in at $499, placing it $100 above the HD 5870. The GTX 470 is still considered a higher-end offering, but is more modestly priced at $349. Availability is expected to begin the week of April 12, with “tens of thousands” of cards being shipped out to retailers by then.

The road to GF100 has of course been a rough one, with NVIDIA being hit with one issue after another. The biggest hit has been the fact that ATI beat the company to the punch by a full six months, something that no doubt drives some of the company’s execs up the wall. Another rather significant issue has been yields, which by the looks of things, actually could still be an issue (something I’ll talk about later).

When NVIDIA first announced its GF100 architecture last fall at the company’s own GPU Technology Conference, there was an undeniable focus on having the GPU act as a CPU in many different regards. Given that this conference is more developer-focused, NVIDIA set out to prove the effect that CUDA could have not only in gaming, but in applications as well.

Since that time, the company has seemingly stepped back from pushing CUDA quite so hard, and in the past couple of weeks has shifted its focus back to the pure gaming aspect. During a briefing almost two weeks ago, the company made almost no mention of CUDA or GPGPU, but rather talked mostly about the GTX 480’s excellent gaming performance – especially where DirectX 11’s tessellation feature is concerned.

We took a thorough look at GF100 a couple of months ago, and I recommend reading through that article if you want to see all of what Fermi brings to the table. I won’t rehash what was said there, but to put it simply, NVIDIA touts GF100 as being the ultimate gaming architecture, and one that can increase computational performance by as much as 3.5x (this can include CUDA and physics). The company also stresses its dominance where tessellation is concerned, as mentioned above.

As you would expect with a product such as GF100, which is based on a revamped and rethought-out architecture, the improvements NVIDIA brings is going to make its aging GT 200 architecture look out-of-date. We have far better capabilities all-around, and will see nice competition between it and AMD’s own offerings.

One of the easiest ways to compare one generation to the next is to take a look at all of the company’s current models in a table, so we’ve provided that below. You can see that the GTX 480 (which NVIDIA compares mostly to the GTX 285) has twice the number of CUDA cores, and also features higher clock speeds. It’s also had its memory bus decreased from 512-bit to 384-bit, but we’ve seen the overall density receive a boost from 1GB to 1.5GB.

Model

Core MHz

Shader MHz

Mem MHz

Memory

Bus Width

Processors

GeForce GTX 480

700

1401

924

1536MB

384-bit

480

GeForce GTX 470

607

1215

837

1280MB

320-bit

448

GeForce GTX 295

576

1242

1000

1792MB

448-bit

480

GeForce GTX 285

648

1476

1242

1GB

512-bit

240

GeForce GTX 275

633

1404

1134

896MB

448-bit

240

GeForce GTX 260

576

1242

999

896MB

448-bit

216

GeForce GTS 250

738

1836

1100

1GB

256-bit

128

GeForce GT 240

550

1340

1700

512MB – 1GB

128-bit

96

GeForce GT 220

625

1360

790

1GB

128-bit

48

GeForce 210

589

1402

790

512MB

64-bit

16

By specs alone, it’s not hard to understand that the GTX 480 should blow the GTX 285 out of the water, and even possibly the HD 5870. To see the differences between the GTX 480 and GTX 470 in more detail, I’ve grabbed a chart NVIDIA provided to us in our press kit, since it sums it all up nicely.

The GTX 470 is scaled down just as you would expect a $499 –> $349 GPU to be. The card includes a lower number of overall CUDA cores, ROP units and texture units, and also has its clock speeds degraded. It also includes less memory, at 1.25GB. Like the lower-end cards of the last-generation (210, GT 220 and GT 240), GF100 cards are being built on a 40nm process.

As the process shrinks, so does the physical size of the die. Well, as long as the transistor count doesn’t drastically increase during the next-generation, which isn’t the case here. In fact, I almost wonder if GF100 sets a record, with its 3.2 billion (!) transistors resulting in a die-size of 529mm2. Compare that to the 2.15 billion (334mm2) for AMD’s Radeon HD 5870 or to the 1.17 billion (258mm2) for Intel’s six-core Core i7-980X Extreme Edition!

Unfortunately, the screws on the back of my particular sample refused to cooperate, so to avoid stripping them, I am falling back on this make-shift graphic above to show the size difference between the HD 5870 die and the die on the GTX 480. As you can see, one is certainly larger than the other… 58% larger in volume, to be precise.

Before we get into performance testing, let’s first take a deeper look at the card itself, including its design and features.

Rob Williams

Rob founded Techgage in 2005 to be an 'Advocate of the consumer', focusing on fair reviews and keeping people apprised of news in the tech world. Catering to both enthusiasts and businesses alike; from desktop gaming to professional workstations, and all the supporting software.